DBFlow vs Sequelize

Overview

Sequelize

Stacks1.0K

Followers1.4K

Votes143

GitHub Stars30.2K

Forks4.3K

DBFlow

Stacks16

Followers14

Votes3

GitHub Stars4.9K

Forks597

DBFlow vs Sequelize: What are the differences?

Language Compatibility: DBFlow is specifically designed for Android applications, utilizing Java or Kotlin for development. On the other hand, Sequelize is primarily used with Node.js, expanding its compatibility to JavaScript-based projects.
Query Syntax: DBFlow uses a custom Query language called Fluent Query Language (FQL) to query the database, providing a more intuitive and expressive syntax for developers. Sequelize, on the other hand, utilizes raw SQL queries or Sequelize-specific methods for database operations.
Data Modeling Approach: DBFlow follows an annotation-based approach for defining database models, allowing developers to create database tables from Java or Kotlin classes effortlessly. In contrast, Sequelize uses Sequelize models that map to SQL tables directly, offering a more traditional ORM approach to data modeling.
Relationship Management: DBFlow provides robust support for defining relationships between database tables using annotations, making it easier to manage associations in the database schema. Sequelize also supports relationships between models but requires explicit definition and configuration for associations.
Migration Handling: DBFlow offers a built-in migration tool that simplifies database schema upgrades, enabling developers to manage database versioning seamlessly. Sequelize also supports migrations but requires manual configuration of migration scripts for each database change.
Community Ecosystem: DBFlow has a smaller community compared to Sequelize, which is widely adopted in the Node.js ecosystem. This difference in community size can affect the availability of resources, tutorials, and community support for developers using these libraries.

In Summary, DBFlow and Sequelize differ in language compatibility, query syntax, data modeling approach, relationship management, migration handling, and community ecosystem, catering to different development environments and preferences.

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CLI (Node.js)

Manual

Detailed Comparison

Sequelize	DBFlow
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.	It is fast, efficient, and feature-rich Kotlin database library built on SQLite for Android. It utilizes annotation processing to generate SQLite boilerplate for you and provides a powerful SQLite query language that makes using SQLite a joy.
-	Feature-rich; Kotlin database library; Built on SQLite
Statistics
GitHub Stars 30.2K	GitHub Stars 4.9K
GitHub Forks 4.3K	GitHub Forks 597
Stacks 1.0K	Stacks 16
Followers 1.4K	Followers 14
Votes 143	Votes 3
Pros & Cons
Pros 42 Good ORM for node.js 31 Easy setup 21 Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite 14 Open source 13 Free Cons 30 Docs are awful 10 Relations can be confusing	Pros 1 Easy to use 1 Open Source 1 SQLite Cons 1 Doesn't support anything other than SQLite
Integrations
SQLite Microsoft SQL Server Node.js PostgreSQL MySQL MariaDB io.js	Kotlin Android OS SQLite RxJava

What are some alternatives to Sequelize, DBFlow?

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Entity Framework Core

It is a lightweight, extensible, open source and cross-platform version of the popular Entity Framework data access technology. It can serve as an object-relational mapper (O/RM), enabling .NET developers to work with a database using .NET objects, and eliminating the need for most of the data-access code they usually need to write.

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Dapper

It is an object-relational mapping product for the Microsoft.NET platform: it provides a framework for mapping an object-oriented domain model to a traditional relational database.

Related Comparisons

DBFlow vs Sequelize: What are the differences?

Language Compatibility: DBFlow is specifically designed for Android applications, utilizing Java or Kotlin for development. On the other hand, Sequelize is primarily used with Node.js, expanding its compatibility to JavaScript-based projects.
Query Syntax: DBFlow uses a custom Query language called Fluent Query Language (FQL) to query the database, providing a more intuitive and expressive syntax for developers. Sequelize, on the other hand, utilizes raw SQL queries or Sequelize-specific methods for database operations.
Data Modeling Approach: DBFlow follows an annotation-based approach for defining database models, allowing developers to create database tables from Java or Kotlin classes effortlessly. In contrast, Sequelize uses Sequelize models that map to SQL tables directly, offering a more traditional ORM approach to data modeling.
Relationship Management: DBFlow provides robust support for defining relationships between database tables using annotations, making it easier to manage associations in the database schema. Sequelize also supports relationships between models but requires explicit definition and configuration for associations.
Migration Handling: DBFlow offers a built-in migration tool that simplifies database schema upgrades, enabling developers to manage database versioning seamlessly. Sequelize also supports migrations but requires manual configuration of migration scripts for each database change.
Community Ecosystem: DBFlow has a smaller community compared to Sequelize, which is widely adopted in the Node.js ecosystem. This difference in community size can affect the availability of resources, tutorials, and community support for developers using these libraries.

DBFlow vs Sequelize

Overview